ERA

Download the full-sized PDF of The Singular Spectrum Analysis method and its application to seismic data denoising and reconstructionDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R30M02

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

The Singular Spectrum Analysis method and its application to seismic data denoising and reconstruction Open Access

Descriptions

Other title
Subject/Keyword
Noise Attenuation
SSA
Cadzow
Interpolation
Rank Reduction
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Oropeza, Vicente
Supervisor and department
Sacchi, Mauricio (Physics)
Examining committee member and department
Vorobyov, Sergiy (Electrical and Computer Engineering)
Van Der Baan, Mirko (Physics)
Kravchinsky, Vadim (Physics)
Department
Department of Physics
Specialization

Date accepted
2010-09-22T20:14:13Z
Graduation date
2010-11
Degree
Master of Science
Degree level
Master's
Abstract
Attenuating random and coherent noise is an important part of seismic data processing. Successful removal results in an enhanced image of the subsurface geology, which facilitate economical decisions in hydrocarbon exploration. This motivates the search for new and more efficient techniques for noise removal. The main goal of this thesis is to present an overview of the Singular Spectrum Analysis (SSA) technique, studying its potential application to seismic data processing. An overview of the application of SSA for time series analysis is presented. Subsequently, its applications for random and coherent noise attenuation, expansion to multiple dimensions, and for the recovery of unrecorded seismograms are described. To improve the performance of SSA, a faster implementation via a randomized singular value decomposition is proposed. Results obtained in this work show that SSA is a versatile method for both random and coherent noise attenuation, as well as for the recovery of missing traces.
Language
English
DOI
doi:10.7939/R30M02
Rights
License granted by Vicente Oropeza (vicente@ualberta.ca) on 2010-09-17T20:19:55Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2014-04-30T22:11:13.841+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 7151327
Last modified: 2015:10:12 12:41:14-06:00
Filename: Thesis_Vicente_Oropeza.pdf
Original checksum: 9bfa44cfdb341939f5a6b84c8cc7431f
Well formed: false
Valid: false
Status message: Lexical error offset=7105706
File title: The SSA method and its application to seismic data denoising and reconstruction, Msc. Thesis
File author: Vicente E. Oropeza
Page count: 102
Activity of users you follow
User Activity Date